Crowdsourced Diagnostic Rule Updates for Complex Assets
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Solution Overview
Problem
Existing diagnostic systems for complex assets provide incomplete coverage and are unable to incorporate real-time updates, requiring costly and time-consuming software upgrades for new rules and insights, which can lead to delayed implementation of new maintenance and repair knowledge.
Innovation Solution
A system and method for performing complex asset analysis through crowdsourced data aggregation, enabling real-time sharing and validation of maintenance and repair knowledge across a community of assets, allowing immediate implementation of new insights and rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If diagnostic rules are encoded at design and development time by engineers and subject matter experts, then the diagnostic system provides reliable and accurate initial diagnostic coverage, but the system cannot incorporate real-time updates and new maintenance knowledge without costly and time-consuming software upgrades
Solution Approach 1:
The patent transforms the static diagnostic rule system into a dynamic one by enabling continuous collection, validation, and deployment of diagnostic rules from multiple sources including crowd-sourced data. The system dynamically updates diagnostic rules in real-time without requiring traditional software upgrade cycles, allowing the diagnostic coverage to adapt and evolve as new maintenance knowledge becomes available from the field.
Solution Approach 2:
The patent implements feedback loops where diagnostic data from multiple assets is continuously collected, analyzed, and used to generate new diagnostic rules that are then deployed back to the system. This closed-loop feedback mechanism enables the system to learn from real-world operations and continuously improve its diagnostic capabilities without manual intervention for each update.
2Ease of operation
If diagnostic systems are sophisticated and costly tools mainly available to repair shops and major vehicle dealerships, then the system provides comprehensive diagnostic capabilities, but asset owners cannot directly access real-time diagnostic insights for their assets
Solution Approach 1:
The patent creates a universal diagnostic platform that serves multiple stakeholders including asset owners, repair shops, and manufacturers through a single crowdsourced system. The platform aggregates diagnostic data from diverse sources and provides tailored insights to different user groups, making sophisticated diagnostic capabilities accessible to asset owners while maintaining the comprehensive analytical power needed by professional repair facilities.
Solution Approach 2:
The patent introduces a crowdsourced diagnostic platform as an intermediary between asset owners and the complex diagnostic analysis infrastructure. This intermediary aggregates data from multiple sources, performs centralized analysis, and delivers simplified real-time insights to asset owners, bridging the gap between sophisticated diagnostic capabilities and user accessibility.
3Productivity
If traditional diagnostic systems require software upgrades for new rules and insights, then system reliability is maintained through controlled updates, but the process is costly and time-consuming
Solution Approach 1:
The patent enables the diagnostic system to self-update by automatically collecting diagnostic data from the crowd, validating new rules through analytical processing, and deploying updates without manual intervention. The system performs its own knowledge acquisition and rule generation, eliminating the need for expensive and time-consuming manual software upgrade processes while maintaining controlled reliability through automated validation mechanisms.
Solution Approach 2:
The patent establishes continuous diagnostic rule development and deployment, replacing the discrete, periodic software upgrade model with an ongoing continuous process. New diagnostic rules are continuously generated from incoming data streams, validated in real-time, and deployed immediately, ensuring the system continuously improves without interruption to operational productivity.
Data Source
AI summary
A complex asset analysis operation, comprising: receiving data from a plurality of crowd sourced complex assets; aggregating the data received from the plurality of crowd sourced complex assets; and, performing a complex asset analysis operation based upon the data received from the plurality of crowd sourced devices, the complex asset analysis operation providing an information brokerage function for a community of complex assets by managing shared information from the plurality of crowd sourced complex assets.